Y. Komori and H. Hirose (2001), Parameter estimation for grouped and truncated data or truncated data, Technical Report CSSE-12, Faculty of Computer Science & Systems Engineering, Kyushu Institute of Technology.

Abstract
In the present article we deal with parameter estimation about truncated data, which are of a variety of truncated time---a1 truncated data are of a truncated time b1, a2 truncated data are of a truncated time b2 and so on. We show some conditions to get the maximum likelihood estimations in the two cases, in one of which the truncated data are given as data values and in the other of which the truncated data are given as grouped data (that is, each expresses the number of the data fall into a subinterval). Here, it is supposed that all the data are subject to an exponential distribution.

Note
The material in this report has been superseded by Y. Komori and H. Hirose (2002).

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Last updated: 2003/08/27